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Identifying Tribes on Twitter Through Shared Context

In: Collaborative Innovation Networks

Author

Listed:
  • Peter A. Gloor

    (MIT Center for Collective Intelligence)

  • Andrea Fronzetti Colladon

    (University of Perugia)

  • Joao Marcos Oliveira

    (galaxyadvisors AG)

  • Paola Rovelli

    (Free University of Bozen-Bolzano)

  • Manuel Galbier

    (University of Applied Sciences Northwestern Switzerland)

  • Manfred Vogel

    (University of Applied Sciences Northwestern Switzerland)

Abstract

This paper introduces Tribefinder, a novel system able to reveal Twitter users’ tribal affiliations. Tribefinder establishes to which tribes individuals belong through the analysis of their tweets and the comparison of their vocabulary. These tribal vocabularies are previously generated based on the vocabulary of tribal influencers and leaders selected using Tribecreator. To demonstrate its functionality, in the case presented in this paper, the system was calibrated in three specific tribal macro-categories: alternative reality, lifestyle, and recreation. Apart from describing the methodology we used to create this system, we also provide some practical examples of its use, thus giving a first indication of its potential. Finally, we present the results of the adoption of a t-SNE visualization approach, useful to verify whether tribe members cluster closely together.

Suggested Citation

  • Peter A. Gloor & Andrea Fronzetti Colladon & Joao Marcos Oliveira & Paola Rovelli & Manuel Galbier & Manfred Vogel, 2019. "Identifying Tribes on Twitter Through Shared Context," Studies on Entrepreneurship, Structural Change and Industrial Dynamics, in: Yang Song & Francesca Grippa & Peter A. Gloor & João Leitão (ed.), Collaborative Innovation Networks, pages 91-111, Springer.
    • Handle: RePEc:spr:seschp:978-3-030-17238-1_5
    DOI: 10.1007/978-3-030-17238-1_5
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